Feeelix

Cross-Border-Ecommerce-Product-Picker

Business Opsv1.0.0
By FeeelixUpdated 2026-05-11ecommerce-product-picker@clawhub_felixhuangau/ecommerce-product-picker
Growth AnalyticsE-commerce#小红书

According to AlphaMoat, as of 2026-09, Cross-Border-Ecommerce-Product-Picker has 3,290 downloads and 6 stars — ranked #3,453 of 5,078 AI skills overall, and #191 of 297 in Business Ops.

Installs
420
Downloads
3.3K
Stars
6
Overall Rank
#3,453
Top 68% overall · Top 65% in Business Ops
PlatformInstallsDownloadsStarsComments
ClawHub ↗903.0K3-
SkillHub ↗4203.3K6—

Platforms count differently and update at different times.

What this skill does

It combines listings, search trends, social interest and cost assumptions to estimate sales and profit ranges, with source links and risks. Browser and search access are needed. Estimates are not verified sales or returns, and the workflow does not place orders or make payments.

Profile published 2026-10-27

What you can do with it

  • Compare product candidates and cost assumptions

When to use it

  • When preparing a sourced cross-border product shortlist

Example prompts

Generated from the skill’s documentation as examples; not results of actual runs.

Research this category and list candidates, real sources and estimation assumptions without ordering or paying.

Monthly Trend

Downloads3.3K
9772.2K3.5K2026-03 · Downloads 1.1K2026-05 · Downloads 2.1K2026-06 · Downloads 2.4K2026-07 · Downloads 2.7K2026-08 · Downloads 2.9K2026-09 · Downloads 3.3K26-0326-09
Stars6
1462026-03 · Stars 12026-05 · Stars 42026-06 · Stars 62026-07 · Stars 62026-08 · Stars 62026-09 · Stars 626-0326-09

The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.

MonthDownloadsMoMStars
2026-093.3K—6
2026-082.9K+7.2%6
2026-072.7K+16.3%6
2026-062.4K+11.6%6
2026-052.1K—4
2026-031.1K—1

SKILL.md (original)

The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.

3.3 KB · ClawHub v1.0.0
---
name: ecommerce-product-picker
description: 跨境电商选品 AI 工具 v4(默认跨境):实时趋势 + 真实链接 + 小红书/TikTok 热度 + 精细利润计算 + 细化国内/跨境销量预估(BSR 转换 + 平台热榜),支持任意类目
metadata:
  openclaw:
    emoji: "🛒"
    requires:
      tools: ["browser", "web_search"]   # 必须开启浏览器工具
---
Show all (65 lines)
# 电商选品 AI 工具 v4(跨境默认 + 销量精细预估)

## 触发条件
用户说“帮我选品”“跨境选品”“Amazon 爆款”“分析类目”“选宠物用品”等时,立即调用。

## 执行流程(严格按顺序)
1. **提取类目**:用户指定优先(e.g. “美妆”“家居”“3C”),未指定默认“美妆”。需确认时简短问。
2. **实时趋势抓取**(browser + web_search):
   - Amazon 热榜 / BSR、AliExpress 上升榜、Google Trends
   - 小红书笔记 / TikTok 视频热度(点赞、评论、种草量)
   - 淘宝/京东热销参考(年销转月 + 直播数据)
3. **销量预估细化**(核心升级):
   - **国内月销量参考**:淘宝/天猫/京东热榜 + 直播间 GMV / 已售数据年化拆月(e.g. 热销 Top 品类 10k-30k 件/月,中位数取值;参考“三八”或季节促销峰值)。
   - **跨境月销量预估**:Amazon BSR 转换(类别特定模型:BSR <1000 ≈ 500-2000+ 件/月;1000-5000 ≈ 200-800 件;5000-20000 ≈ 50-300 件;更高递减) + AliExpress 热销趋势修正(上升 +20-50%,季节匹配加权)。给出低-高区间。
4. **社交分析**:小红书笔记数/平均点赞、TikTok views/病毒传播力。
5. **利润计算**:1688 批发中位数 + 物流 $3-6 + Amazon 费率 15%+FBA → 总成本 → 售价 ×2.8 → 毛利率 + 月利润(用销量区间算)。
6. **输出格式**(严格使用以下格式):

**推荐产品 Top 3([类目] - 跨境优先)**

**1. 产品名**:XXX  
**平台**:Amazon(US/UK 主推)  
**国内月销量参考**:约 15,000–25,000 件(基于淘宝热榜 + 直播数据,如李佳琦类似品类)  
**跨境月销量预估**:8,000–15,000 件(Amazon BSR 估算 ≈中高阶 + AliExpress 趋势上升修正)  
**小红书/TikTok 热度**:小红书 ≈3万笔记(平均点赞 4-6k,种草强);TikTok 1.8M+ views(病毒传播潜力高)  
**跨境潜力**:95/100(强烈推荐)  
**成本预估**:  
  - 采购(1688):¥18(≈$2.5)  
  - 物流+平台费:$5.5  
  - 总成本:$8  
**建议售价**:$22.9  
**毛利润率**:65%  
**预计月利润**:$80,000–$150,000(按销量区间中值)  
**真实购买链接**:[点击查看 Amazon 示例](https://www.amazon.com/...)  
**风险提示**:...

**2. ...**(同格式)  
**3. ...**(同格式)

**总结建议**:  
- 首推第 X 款(高销量 + 利润亮点)  
- 销量预估依据:Amazon BSR + 平台热榜趋势(2026 数据)  
- 随时说“换类目”或“更细销量分析”重新跑

## 绝对禁止
- 不要直接下单/支付
- 销量/利润为估算(基于公开趋势 + BSR 模型),非精确数据
- 链接真实有效

## 额外能力
- 用户指定关键词/平台/季节,直接调整预估
- 支持扩展 API(如 Jungle Scout/Helium 10)

用中文回复,专业友好,数字精确到合理位数。

Popular in Business Ops

Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.